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Quantifying optical anisotropy in soft tissue membranes using Mueller matrix imaging

Significance: A non-destructive technique for accurately characterizing the spatial distribution of optical properties of soft tissue membranes may give improved outcomes in many tissue engineering applications. Aim: This study aimed to develop a non-destructive macroscopic imaging technique that is...

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Autores principales: Dixon, Alexander W., Taberner, Andrew J., Nash, Martyn P., Nielsen, Poul M. F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493487/
https://www.ncbi.nlm.nih.gov/pubmed/34617423
http://dx.doi.org/10.1117/1.JBO.26.10.106001
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author Dixon, Alexander W.
Taberner, Andrew J.
Nash, Martyn P.
Nielsen, Poul M. F.
author_facet Dixon, Alexander W.
Taberner, Andrew J.
Nash, Martyn P.
Nielsen, Poul M. F.
author_sort Dixon, Alexander W.
collection PubMed
description Significance: A non-destructive technique for accurately characterizing the spatial distribution of optical properties of soft tissue membranes may give improved outcomes in many tissue engineering applications. Aim: This study aimed to develop a non-destructive macroscopic imaging technique that is sensitive to optical anisotropy, typical of fibrous components in soft tissue membranes, and can address some of the difficulties caused by the complex turbid nature of these tissues. Approach: A near-infrared Mueller matrix imaging polarimeter employing logarithm decomposition was developed and used to conduct transmission measurements of all the polarization properties across the full thickness of bovine pericardium tissue. Results: The full Mueller matrix was measured across a [Formula: see text] sample of calf bovine pericardium and revealed significant retardance (linear and circular) and depolarization in this tissue. Regions with a uniform axis of optical anisotropy were identified. Mueller matrix imaging demonstrated that the exhibited circular retardance was sufficient to lead to possible misinterpretation of apparent fiber orientation when using conventional polarization imaging techniques for such tissues. Conclusions: Mueller matrix imaging can identify regional distributions of optical anisotropy in calf bovine pericardium. This new capability is a promising development in non-destructive imaging for tissue selection.
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spelling pubmed-84934872021-10-13 Quantifying optical anisotropy in soft tissue membranes using Mueller matrix imaging Dixon, Alexander W. Taberner, Andrew J. Nash, Martyn P. Nielsen, Poul M. F. J Biomed Opt Imaging Significance: A non-destructive technique for accurately characterizing the spatial distribution of optical properties of soft tissue membranes may give improved outcomes in many tissue engineering applications. Aim: This study aimed to develop a non-destructive macroscopic imaging technique that is sensitive to optical anisotropy, typical of fibrous components in soft tissue membranes, and can address some of the difficulties caused by the complex turbid nature of these tissues. Approach: A near-infrared Mueller matrix imaging polarimeter employing logarithm decomposition was developed and used to conduct transmission measurements of all the polarization properties across the full thickness of bovine pericardium tissue. Results: The full Mueller matrix was measured across a [Formula: see text] sample of calf bovine pericardium and revealed significant retardance (linear and circular) and depolarization in this tissue. Regions with a uniform axis of optical anisotropy were identified. Mueller matrix imaging demonstrated that the exhibited circular retardance was sufficient to lead to possible misinterpretation of apparent fiber orientation when using conventional polarization imaging techniques for such tissues. Conclusions: Mueller matrix imaging can identify regional distributions of optical anisotropy in calf bovine pericardium. This new capability is a promising development in non-destructive imaging for tissue selection. Society of Photo-Optical Instrumentation Engineers 2021-10-06 2021-10 /pmc/articles/PMC8493487/ /pubmed/34617423 http://dx.doi.org/10.1117/1.JBO.26.10.106001 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/Published by SPIE under a Creative Commons Attribution 4.0 International License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle Imaging
Dixon, Alexander W.
Taberner, Andrew J.
Nash, Martyn P.
Nielsen, Poul M. F.
Quantifying optical anisotropy in soft tissue membranes using Mueller matrix imaging
title Quantifying optical anisotropy in soft tissue membranes using Mueller matrix imaging
title_full Quantifying optical anisotropy in soft tissue membranes using Mueller matrix imaging
title_fullStr Quantifying optical anisotropy in soft tissue membranes using Mueller matrix imaging
title_full_unstemmed Quantifying optical anisotropy in soft tissue membranes using Mueller matrix imaging
title_short Quantifying optical anisotropy in soft tissue membranes using Mueller matrix imaging
title_sort quantifying optical anisotropy in soft tissue membranes using mueller matrix imaging
topic Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8493487/
https://www.ncbi.nlm.nih.gov/pubmed/34617423
http://dx.doi.org/10.1117/1.JBO.26.10.106001
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